Contract coordination optimization of a multi-power supplier-single dominant grid supply chain in hybrid electricity market. Issue 9 (30th October 2019)
- Record Type:
- Journal Article
- Title:
- Contract coordination optimization of a multi-power supplier-single dominant grid supply chain in hybrid electricity market. Issue 9 (30th October 2019)
- Main Title:
- Contract coordination optimization of a multi-power supplier-single dominant grid supply chain in hybrid electricity market
- Authors:
- Zhu, Zhenning
Kong, Lingcheng
Xie, Jiaping
Li, Jing
Cao, Bing - Abstract:
- Abstract : Purpose: In the hybrid electricity market, renewable energy power generator faces the uncertainty of power market demand and the randomness of the renewable energy generation output. In order to improve the grid-connected quantity of green power, the purpose of this paper is to design the pricing mechanism for renewable energy power generator with revenue-sharing contract in a two-stage "multi-single" electricity supply chain which contains a single dominant power retailer and two kinds of power suppliers providing different power energy species. Design/methodology/approach: Considering the dual uncertainties of renewable energy power output and power market demand, the authors design the full-cooperative contract decision-making model, wholesale price contract decision-making model and revenue-sharing contract decision-making model to compare and optimize grid-connected pricing in order to maximize profit of different parties in power supply chain. Then, this paper performs a numerical simulation, discusses the existence of the equilibrium analytical solutions to satisfy the supply chain coordination conditions and analyzes the optimal contract parameters' variation characteristics and their interaction relationship. Findings: The authors find that the expected profits of the parties in the hybrid power supply chain are concave about their decision variables in each decision-making mode. The revenue-sharing contract can realize the Pareto improvement for allAbstract : Purpose: In the hybrid electricity market, renewable energy power generator faces the uncertainty of power market demand and the randomness of the renewable energy generation output. In order to improve the grid-connected quantity of green power, the purpose of this paper is to design the pricing mechanism for renewable energy power generator with revenue-sharing contract in a two-stage "multi-single" electricity supply chain which contains a single dominant power retailer and two kinds of power suppliers providing different power energy species. Design/methodology/approach: Considering the dual uncertainties of renewable energy power output and power market demand, the authors design the full-cooperative contract decision-making model, wholesale price contract decision-making model and revenue-sharing contract decision-making model to compare and optimize grid-connected pricing in order to maximize profit of different parties in power supply chain. Then, this paper performs a numerical simulation, discusses the existence of the equilibrium analytical solutions to satisfy the supply chain coordination conditions and analyzes the optimal contract parameters' variation characteristics and their interaction relationship. Findings: The authors find that the expected profits of the parties in the hybrid power supply chain are concave about their decision variables in each decision-making mode. The revenue-sharing contract can realize the Pareto improvement for all parties' interest of the supply chain, and promote the grid-connected quantity of green power effectively. The grid-connected price will reduce with the increase of revenue-sharing ratio, and this impact will be greater on the renewable energy power. The greater the competition intensity in power supply side, the smaller the revenue-sharing ratio from power purchaser. And for the same rangeability of competition intensity, the revenue-sharing ratio reduction of thermal power is less than that of the green power. The more the government subsidizing green power supplier, the smaller the retailer sharing revenue to it. Practical implications: Facing with the dual uncertainties of green power output and market demand and the competition of thermal power in hybrid electricity market, this study can provide a path to solve the problem of renewable energy power grid-connecting. The results can help green power become competitive in hybrid power market under loose regulations. And this paper suggests that the government subsidy policy should be more tactical in order to implement a revenue-sharing contract of the power supply chain. Originality/value: This paper studies the renewable energy electricity grid-connected pricing under the uncertainty of power supply and market demand, and compares different contract decision-making strategies in order to achieve the power supply chain coordination. The paper also analyzes the competition between thermal power and renewable energy power in hybrid electricity market. … (more)
- Is Part Of:
- Industrial management & data systems. Volume 119:Issue 9(2019)
- Journal:
- Industrial management & data systems
- Issue:
- Volume 119:Issue 9(2019)
- Issue Display:
- Volume 119, Issue 9 (2019)
- Year:
- 2019
- Volume:
- 119
- Issue:
- 9
- Issue Sort Value:
- 2019-0119-0009-0000
- Page Start:
- 1861
- Page End:
- 1887
- Publication Date:
- 2019-10-30
- Subjects:
- Supply chain coordination -- Competition -- Hybrid electricity market -- Intermittency -- Uncertain supply and demand
Industrial management -- Periodicals
Electronic data processing -- Periodicals
Business -- Periodicals
Industrial management -- Great Britain -- Periodicals
658.05 - Journal URLs:
- http://www.emeraldinsight.com/0263-5577.htm ↗
http://www.emeraldinsight.com/ ↗ - DOI:
- 10.1108/IMDS-08-2018-0340 ↗
- Languages:
- English
- ISSNs:
- 0263-5577
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4457.715000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 22167.xml